A new dedicated page of the HCSO website aims to help users find all relevant information related to the coronavirus and its social and economic consequences.

What does it contain?

• Information on the survey entitled H-UNCOVER (reason, organization, results)
• Analyses
• Data visualisations
• Weekly Monitor

Go to coronavirus dedicated page (Only in Hungarian)

With the involvement of the Hungarian Central Statistical Office and four medical universities, a representative survey was implemented in the first half of May 2020 in the fight against the COVID-19. The goal of the research was to provide an accurate picture of the spread of the outbreak and gain an insight into the actual number of those infected with the new type of coronavirus, including asymptomatic carriers.

• Participants’ number: nearly 18,000 in the sample, 10,600 actual respondents
• Age: 14 years and older
• Number of settlements selected in the country: 489
• Type of survey: voluntary
• Sample: two-stage, stratified random sample
• Representativity: at regional level and for age-groups
• Results:
  • actively infected population estimate: 2,421 persons
  • has been infected prevalence: 56,439 persons

More information about H-UNCOVER (Only in Hungarian)

In addition to regularly published, monthly or quarterly business indicators, in the aftermath of the outbreak of the coronavirus, we deemed it crucial to be able to provide more frequent and more timely statistics on a number of statistical areas. Our Weekly Monitor helps assess the economic and social impacts of the epidemic through

• early release of preliminary data
• updated daily, weekly or monthly data
• as a collection of interactive diagrams,
• downloadable as PNG, SVG and CSV formats of graphs and maps
• data based on completely new data sources unused by HCSO previously
• or available more frequently as a result of accelerated and modified methods of production
• or available in specific breakdowns, with a focus on new data needs

Check Weekly Monitor's page

During the seasonal adjustment process outlier detection and treatment are implemented. If the measured outlier effect is removed from the time series, an "outlier treated" time series is calculated. This result could be presented as an estimation of what would have happened without the outlier. Since the COVID-19 caused a very significant outlier effect for a lot of time series, the difference between the outlier treated and original time series is a kind of estimation for the effect of the COVID-19. This estimation can be calculated easily and fast for every time series where seasonal adjustment is done.

Read about the effect on the retail trade (Only in Hungarian)

We provide a new channel for our users to have a peek at what happens in the world of statistics concerning data collections, methodology, operation of the statistical office etc.

Conversations

• with statistical experts
• on relevant issues while informing and entertaining the audience
• available at all major streaming providers
• already two broadcasts available, one on the H-UNCOVER survey and another on single persons in Hungarian population

(Only in Hungarian)